Tenriola Andi, Hidayah Najdah, Massi Muhammad Nasrum, Halik Handayani, Damayanti Tri, Rivai Andi Tenri Ola
Postgraduate Program, Faculty of Medicine, Universitas Hasanuddin, Jl. Perintis Kemerdekaan Km.10, Makassar, Sulawesi Selatan 90245 Indonesia.
Department of Microbiology, Faculty of Medicine, Universitas Hasanuddin, Jl. Perintis Kemerdekaan Km.10, Makassar, Sulawesi Selatan 90245 Indonesia.
Egypt J Med Hum Genet. 2022;23(1):111. doi: 10.1186/s43042-022-00323-8. Epub 2022 Jul 18.
Diagnosis of tuberculosis (TB) in the era of technological sophistication requires accuracy and speed to provide as much information as possible so that TB treatment can be carried out quickly and precisely. New studies have also begun to be carried out to diagnose TB, one of which is by examining genes, either by looking at polymorphisms, mutations, or expressions. Several previous studies have confirmed the association of and TB genes with polymorphisms; is a gene that participates in the regulation of the inflammatory process and is also found in macrophages; therefore, we tried to analyze gene expression in the active TB group, household contacts, and healthy controls for looked at the differences between the three groups and confirmed the correlation of with TB by seeing which group's gene expression increased the most expression of the three groups so that the results can be considered as a TB diagnostic biomarker in the future.
This study included 122 people, 49 patients with confirmed TB, 46 close relatives of patients, and 27 healthy controls. This study used a real-time PCR technique to analyze gene expression in the three groups, and all data were analyzed using Bio-Rad CFXTM software version 3.1 and one-way ANOVA using SPSS 21.0.
The value of gene expression in the active TB group increased 3.6-fold in the healthy group ( = 0.143), and that of gene expression in the healthy control group increased 1.09-fold in the healthy group ( = 0.007).
There is a relationship between and TB based on the results of gene expression analysis that increased in the active TB group compared to the household contact group and healthy controls.
在技术复杂的时代，结核病（TB）的诊断需要准确性和速度，以提供尽可能多的信息，以便能够快速、准确地进行结核病治疗。也已开始开展新的结核病诊断研究，其中之一是通过检测基因，即观察多态性、突变或表达情况。先前的几项研究已证实[具体基因]与结核病基因及多态性之间的关联；[具体基因]是一个参与炎症过程调节的基因，在巨噬细胞中也有发现；因此，我们试图分析活动性结核病组、家庭接触者和健康对照组中的基因表达情况，以观察三组之间的差异，并通过查看哪一组的基因表达在三组中增加最多来确认[具体基因]与结核病的相关性，以便将来可将结果视为结核病诊断生物标志物。
本研究纳入122人，49例确诊结核病患者、46例患者的近亲及27名健康对照。本研究采用实时PCR技术分析三组中的[具体基因]表达情况，所有数据均使用Bio-Rad CFXTM 3.1版软件进行分析，并使用SPSS 21.0进行单因素方差分析。
活动性结核病组中[具体基因]的表达值相较于健康组增加了3.6倍（P = 0.143），健康对照组中[具体基因]的表达值相较于健康组增加了1.09倍（P = 0.007）。
基于基因表达分析结果，活动性结核病组与家庭接触组及健康对照组相比，[具体基因]表达增加，表明[具体基因]与结核病之间存在关联。
